Saved in:
| Main Authors: | , |
|---|---|
| Format: | Recurso digital |
| Sprog: | engelsk |
| Udgivet: |
Zenodo
2012
|
| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.18978024 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
| _version_ | 1866901534857494528 |
|---|---|
| author | Lutakire, Lutwami Kigozi, Kizza |
| author_facet | Lutakire, Lutwami Kigozi, Kizza |
| contents | <p>The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development in West Africa has gained attention due to the potential for enhancing AI's applicability and effectiveness in local contexts. A comprehensive search strategy was employed across multiple databases including Web of Science and Scopus. Studies were screened based on predefined inclusion criteria related to AI integration with IKS. The review identified a consistent theme in favour of incorporating local knowledge, particularly traditional agricultural practices, into AI models for improved decision-making processes in rural settings. While preliminary evidence suggests the potential benefits of integrating IKS in AI development, further empirical research is needed to validate these findings and explore specific implementation strategies. Future studies should prioritise cross-cultural collaboration between technologists and local communities to ensure culturally sensitive AI applications are developed. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18978024 |
| institution | Zenodo |
| language | eng |
| publishDate | 2012 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Integrating Indigenous Knowledge Systems into AI Development in West Africa: A Systematic Literature Review Lutakire, Lutwami Kigozi, Kizza Sub-Saharan AI development Indigenous knowledge systems Cultural integration Ethnocomputing Participatory design Mixed-methods studies <p>The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development in West Africa has gained attention due to the potential for enhancing AI's applicability and effectiveness in local contexts. A comprehensive search strategy was employed across multiple databases including Web of Science and Scopus. Studies were screened based on predefined inclusion criteria related to AI integration with IKS. The review identified a consistent theme in favour of incorporating local knowledge, particularly traditional agricultural practices, into AI models for improved decision-making processes in rural settings. While preliminary evidence suggests the potential benefits of integrating IKS in AI development, further empirical research is needed to validate these findings and explore specific implementation strategies. Future studies should prioritise cross-cultural collaboration between technologists and local communities to ensure culturally sensitive AI applications are developed. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.</p> |
| title | Integrating Indigenous Knowledge Systems into AI Development in West Africa: A Systematic Literature Review |
| topic | Sub-Saharan AI development Indigenous knowledge systems Cultural integration Ethnocomputing Participatory design Mixed-methods studies |
| url | https://doi.org/10.5281/zenodo.18978024 |